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Sequential Decision Making

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Showing 251–300 of 1210 papers

TitleStatusHype
A Sufficient Statistic for Influence in Structured Multiagent Environments—0
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation—0
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation—0
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces—0
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning—0
Bandits with Unobserved Confounders: A Causal Approach—0
Bandits in Matching Markets: Ideas and Proposals for Peer Lending—0
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue—0
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games—0
Bandit Convex Optimization in Non-stationary Environments—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
A Classification View on Meta Learning Bandits—0
Bandit based centralized matching in two-sided markets for peer to peer lending—0
A modular framework for object-based saccadic decisions in dynamic scenes—0
Adaptive Exploration in Linear Contextual Bandit—0
AVID: Adapting Video Diffusion Models to World Models—0
Auxiliary Reward Generation with Transition Distance Representation Learning—0
A Mini Review on the utilization of Reinforcement Learning with OPC UA—0
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes—0
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
Divide-and-Conquer Monte Carlo Tree Search—0
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems—0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization—0
Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem—0
Autonomous Tree-search Ability of Large Language Models—0
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability—0
A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming—0
Design of intentional backdoors in sequential models—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts—0
Automating Predictive Modeling Process using Reinforcement Learning—0
Automatic Goal Generation using Dynamical Distance Learning—0
Demystify Painting with RL—0
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning—0
Automatic Goal Generation using Dynamical Distance Learning—0
All AI Models are Wrong, but Some are Optimal—0
Delay and Cooperation in Nonstochastic Linear Bandits—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications—0
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching—0
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons—0
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems—0
Delayed Feedback in Generalised Linear Bandits Revisited—0
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction—0
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games—0
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking—0
Automated Cyber Defence: A Review—0
Automated Reinforcement Learning: An Overview—0
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents—0
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